Statistical Thinking for Data Science and Analytics

开始时间: 04/22/2022 持续时间: 5 weeks

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: ColumbiaX 授课老师： Andrew Gelman Eva Ascarza David Madigan James Curley Lauren Hannah Tian Zheng

课程主页: https://www.edx.org/archive/statistical-thinking-data-science-columbiax-ds101x-1

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课程详情

This statistics and data analysis course will pave the statistical foundation for our discussion on data science.

You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

课程大纲

• Data collection, analysis and inference
• Data classification to identify key traits and customers
• Conditional Probability-How to judge the probability of an event, based on certain conditions
• How to use Bayesian modeling and inference for forecasting and studying public opinion
• Basics of Linear Regression
• Data Visualization: How to create use data to create compelling graphics

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